code: def test_small_vals(self):
      for n in range(1, 5):
          for ks in _faa_di_bruno_partitions(n):
              lhs = sum(m * k for (m, k) in ks)
              assert_equal(lhs, n)
  
imports: import warnings
  import numpy
  from numpy.testing import assert_equal, assert_raises, assert_allclose
  import numpy.testing
  from scipy.special import gamma, factorial, factorial2
  import scipy.stats
  from statsmodels.distributions.edgeworth import _faa_di_bruno_partitions, cumulant_from_moments, ExpandedNormal
label_desc: Use image node_id 2 for calling the TestFaaDiBruno obj's underlying member method code with example usage: obj.test_small_vals() without return types